CI: Computational Intelligence

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
CI 2019 ACM Collective Intelligence 2019
Jun 13, 2019 - Jun 14, 2019 Pittsburgh, PA Feb 15, 2019
CI 2015 Collective Intelligence
May 31, 2015 - Jun 2, 2015 Santa Clara, CA Feb 8, 2015
CI 2010 The Fifth IASTED International Conference on Computational Intelligence
Aug 23, 2010 - Aug 25, 2010 Maui, Hawaii, USA Apr 1, 2010 (Jun 30, 2010)
CI 2009 The Fourth IASTED International Conference on Computational Intelligence
Sep 17, 2009 - Sep 19, 2009 Honolulu, Hawaii, USA Mar 27, 2009
 
 

Present CFP : 2019

The ACM Collective Intelligence 2019 is the seventh edition of this annual interdisciplinary conference sponsored by SIGCHI dedicated to advancing our understanding of collective intelligence and the workings of teams. The conference will take place at Carnegie Mellon University’s Tepper School of Business on June 13-14, 2019.

Collective Intelligence 2019 explores the impact of technology and big data on the ways in which people come together to communicate, combine knowledge and get work done.

Coming from myriad disciplines and fields, conference participants share how connecting groups of people, information, and machines can lead to more intelligent behavior and more effective problem solving.

The annual interdisciplinary conference that brings together researchers from the academy, businesses, non-profits, governments and the world at large to share insights and ideas from a variety of fields relevant to understanding and designing collective intelligence in its many forms.

Topics of interest include but are not limited to
Human computation
Social computing
Crowdsourcing
Crowdfunding
Wisdom of crowds (e.g., prediction markets)
Group memory and extended cognition
Collective decision making and problem-solving
Participatory and deliberative democracy
Animal collective behavior
Organizational design and strategy
Public policy design (e.g., regulatory reform)
Ethics of collective intelligence (e.g., "digital sweatshops")
Computational models of group search and optimization
Emergence and evolution of intelligence
New technologies for making groups smarter
 

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